Evidence map›Paper›PMID 40160496›Full record

ArticleJournal of pharmaceutical policy and practice2025

Scientometric analysis of research productivity in clinical pharmacy and practice: a 12-year review at a Middle Eastern university.

Ikram Zoukh, Myrna Tabet, Ahmed Awaisu

Abstract read
In one paragraph

Article in Journal of pharmaceutical policy and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ikram ZoukhDepartment of Clinical Pharmacy and Practice, College of Pharmacy, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0001-7722-4318
Myrna TabetQatar University Library, Qatar University, Doha, Qatar.
Ahmed AwaisuDepartment of Clinical Pharmacy and Practice, College of Pharmacy, QU Health, Qatar University, Doha, Qatar.ORCID https://orcid.org/0000-0002-9029-8925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Assessing faculty research productivity through scientometric analysis is crucial for academic institutions to promote and enhance research activities. Scientometric analysis guides institutional goals, identifies gaps and faculty contributions, and influences career development in academia. With advancements in the clinical pharmacy and practice field and Qatar's evolving research infrastructure, this study aimed to evaluate the research productivity and quality indicators of a clinical pharmacy and practice department at Qatar University through scientometric analysis. Methods: Research articles published between 2012 and 2024 were retrieved using Web of Science (WoS) via InCites, Scopus via SciVal, and Google Scholar. Metrics analysed included total publications, journal impact factor, Q ranking, subject area coverage, and collaborations. Results: Thirty-one faculty members produced 1,266 articles indexed in WoS, 1,270 in Scopus, and 1,737 in Google Scholar. The average annual publication rate was 5 articles per faculty member, resulting to an average of 41 publications per faculty member over their tenure. Active publication years accounted for 85% of faculty tenures. Furthermore, research output and productivity increased steadily, with the highest publication output observed between 2021 and 2023. Most publications appeared in journals with Q1 or Q2 rankings, with the Conclusion: This scientometric analysis highlights the research contributions and growth trajectory of clinical pharmacy and practice faculty, emphasising quality and opportunities for future advancements. The findings provide a benchmark for regional and global trends in clinical pharmacy research and offer actionable insights for researchers, academic institutions, and policymakers.

Indexed as

bibliometric analysisclinical pharmacyhigher educationresearch productivityScientometric analysis

Identifiers

PMID40160496
PMCPMC11951331

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.